MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3619
Single Precision Score
3468
Half Precision Score
1061
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | datamushroom |
| Upload Date | September 29 2025 03:26 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5500M |
| System Information | |
|---|---|
| Operating System | macOS 15.7 (Build 24G222) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9980HK |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2958
550.1 IPS |
|
|
Image Classification (HP)
|
100% |
2936
546.1 IPS |
|
|
Image Classification (Q)
|
96% |
131
24.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
328
5.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
326
5.28 IPS |
|
|
Image Segmentation (Q)
|
99% |
213
3.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
19259
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
20267
23.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
2129
2.49 IPS |
|
|
Object Detection (SP)
|
100% |
2885
228.8 IPS |
|
|
Object Detection (HP)
|
100% |
2603
206.5 IPS |
|
|
Object Detection (Q)
|
92% |
137
10.9 IPS |
|
|
Face Detection (SP)
|
100% |
8232
97.8 IPS |
|
|
Face Detection (HP)
|
100% |
6166
73.3 IPS |
|
|
Face Detection (Q)
|
100% |
232
2.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
13253
102.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12828
98.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
11940
93.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35168
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36507
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
47430
61.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6098
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8449
312.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7630
281.7 IPS |
|
|
Text Classification (SP)
|
100% |
351
467.9 IPS |
|
|
Text Classification (HP)
|
100% |
404
539.1 IPS |
|
|
Text Classification (Q)
|
93% |
446
598.6 IPS |
|
|
Machine Translation (SP)
|
100% |
871
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (Q)
|
98% |
500
8.65 IPS |
